Senior IT & Azure DevOps Engineer

This position bridges IT infrastructure management and Azure DevOps engineering to support both AI/ML workloads and enterprise IT services. The role ensures secure, scalable, and compliant delivery of applications, data pipelines, and machine learning models across Azure cloud environments., 1) DevOps & Automation ? Design and maintain Azure DevOps pipelines (YAML) for build, test, security scanning and release of AI/ML models. ? Implement Infrastructure as Code (IaC) using ARM templates, Terraform, or Bicep. ? Manage artifact repositories and container image signing for compliance. 2) Cloud & Platform Management ? Administer Azure environments, including AKS clusters for containerized workloads and GPU-enabled pools for ML training. ? Standardize environments for business applications and Azure Machine Learning workspaces. 3) Security & Compliance ? Enforce governance guardrails for both IT and AI workloads. ? Ensure adherence to regulatory and internal security standards. 4) Collaboration & Support ? Partner with data science teams to enable rapid deployment of ML models. ? Work with IT stakeholders to maintain reliability and scalability of enterprise systems., ? Azure: AKS, Functions, Storage, Key Vault, Monitor/Log Analytics, API Management, Event Hub/Service Bus. ? DevOps: Azure DevOps, GitHub, ACR, Helm, Docker; Terraform or Bicep/ARM. ? Security/Governance: Azure Policy, RBAC, Managed Identity, Key Vault, Defender for Cloud. ? Observability: Application Insights, Azure Monitor, Grafana/Prometheus. ? Languages: YAML, PowerShell, Python; optional Bash. Deliverables (First 90 Days) ? Baseline CI/CD templates for AI services (build, test, security scan, release) and documented promotion strategy. Northern Bank Information Classification: Confidential ? Reference AKS/AML environment deployed via IaC with guardrails (RBAC, policies, private networking) and runbooks. ? Unified observability stack with dashboards, alerts, and SLOs for pipeline and platform health. ? Playbooks for incident response and change management; backlog of automation opportunities. Soft Skills ? Strong communication and collaboration with AI developers, security, and operations. ? Bias for automation, reliability, and documentation; ability to operate in regulated environments, Job Summary (List Format): - DevOps & Automation: - Design, implement, and maintain Azure DevOps pipelines (YAML) for building, testing, security scanning, and releasing AI/ML m…

• 16 hours ago
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? 5+ years in DevOps/SRE, with 3+ years on Azure. Northern Bank Information Classification: Confidential ? Handson with Azure DevOps (Repos, Pipelines, Artifacts), GitHub Actions, and YAMLbased CI/CD. ? Strong IaC skills (Terraform or Bicep/ARM); experience managing AKS and container registries (ACR). ? Proficiency with PowerShell and/or Python for automation; familiarity with Docker and Helm. ? Experience operating Azure Machine Learning (workspaces, endpoints, registries) and integrating ML workflows in CI/CD. ? Solid understanding of cloud security (RBAC, Key Vault, Managed Identity, policies), networking (VNet, subnets, Private Link), and cost management Required Skills ? Strong experience with Azure DevOps, AKS, and Azure Machine Learning. ? Proficiency in CI/CD, IaC, and container orchestration. ? Familiarity with cloud security best practices and compliance frameworks. ? Knowledge of AI/ML deployment workflows and traditional IT infrastructure., ? Experience with GPU workloads on AKS or AML; model serving (Azure ML Managed Online Endpoints, Kubernetes Inference). ? Familiarity with Databricks, Fabric, or other data platforms that feed AI services. ? Certifications: Azure DevOps Engineer Expert, Azure Solutions Architect, or equivalent.